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Tier 3 — Observational / field trialPeer-reviewedRegenerative

Digital transformation of agriculture and rural areas: A socio-cyber-physical system framework to support responsibilisation

Kelly Rijswijk; Laurens Klerkx; Manlio Bacco; Fabio Bartolini; Ellen Bulten; Lies Debruyne; Joost Dessein; Ivano Scotti; Gianluca Brunori

Journal of Rural Studies · 2021

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Summary

This paper develops a socio-cyber-physical system framework to understand the multifaceted impacts of digital technologies on agriculture and rural areas. Rather than assuming digital transformation is inherently beneficial, the authors use a responsible research and innovation lens to map relationships between social, technological and physical dimensions, illustrated through dairy farming. The framework supports enhanced understanding of who bears moral responsibility and accountability for both positive and negative outcomes of digitalisation.

Regional applicability

The framework is applicable to UK agricultural policy and practice, particularly relevant to ongoing digital farm adoption and government initiatives promoting precision agriculture and rural broadband. UK dairy farming digitalisation could benefit from this structured approach to anticipating and governing multi-dimensional impacts.

Key measures

Qualitative assessment of relations between social, cyber and physical system components; identification of moral responsibilities and accountability structures in digital agricultural transformation

Outcomes reported

The study developed a socio-cyber-physical system framework to analyse digital transformation impacts across economic, environmental, social, technological and institutional dimensions. It illustrated the framework through digital dairy farming and identified conditions for successful digital transformation: design of and access to digital technologies, and navigation of system complexity.

Theme
Policy, governance & rights
Subject
Food & agricultural policy
Study type
Research
Study design
Framework development and conceptual analysis
Source type
Peer-reviewed study
Status
Published
Geography
Europe
System type
Dairy
DOI
10.1016/j.jrurstud.2021.05.003
Catalogue ID
NRmo9rin9c-0w2

Topic tags

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